𧬠9/16 Connecticut #SARSCoV2 variant surveillance
@CovidCT | @jacksonlab | @CTDPH | @YaleSPH | @Yalemed
πDelta - 99.6% (480 sequenced)
Mu - 0.2% (1 sequenced)
Non-VOI/C - 0.2% (1 sequenced, B.1.517)
Delta >99% in last 4 reports
short 𧡠| Report π
covidtrackerct.com/variant-surveiβ¦
@CovidCT | @jacksonlab | @CTDPH | @YaleSPH | @Yalemed
πDelta - 99.6% (480 sequenced)
Mu - 0.2% (1 sequenced)
Non-VOI/C - 0.2% (1 sequenced, B.1.517)
Delta >99% in last 4 reports
short 𧡠| Report π
covidtrackerct.com/variant-surveiβ¦
Connecticut Delta sublineage frequencies for the week of 9/6 (weekly % change over previous 3 weeks)
B.1.617.2 - 44% (π7%, π1%, π4%)
AY.25 - 23% (π3%, 0%, π2%)
AY.3 - 11% (π2%, π1%, π1%)
AY.12 - 10% (π1%, π2%, π2%)
All others - 11% combined
(2/6)
B.1.617.2 - 44% (π7%, π1%, π4%)
AY.25 - 23% (π3%, 0%, π2%)
AY.3 - 11% (π2%, π1%, π1%)
AY.12 - 10% (π1%, π2%, π2%)
All others - 11% combined
(2/6)
B.1.617.2 is decreasing primarily because these sequences are being classified as other sublineages. Otherwise, the Delta AY sublineage frequencies are remaining very stable and there is currently *no evidence that any are more transmissible* in Connecticut. (3/6)
Here is my previous tweet + thread that explains what mutations are associated with the common Delta sublineages in Connecticut. (4/6)
https://twitter.com/NathanGrubaugh/status/1433499343508541450?s=20
The 7-day moving average case counts in Connecticut are also remaining stable despite modeled estimates of decreased infections. Delta is proving to be very hard to control. (5/6)
covidestim.org/us/CT
covidestim.org/us/CT
This week I'd like to thank the Yale Center for Outcome Research and Evaluation (CORE), Dave Ferguson + @wade_schulz, for working with us every week to provide samples for sequencing. It's hard work, and we really appreciate it! πͺ(6/6)
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